Software Engineering Manager, Siri AI Quality
Apple
Software Engineering, Other Engineering, Data Science, Quality Assurance
Cupertino, CA, USA
USD 198,300-342,800 / year + Equity
Posted on Jun 3, 2026
Would you like to play a part in shipping groundbreaking technology for large-scale systems, natural language, and artificial intelligence? Join the Siri AI Quality team at Apple! You will work with the people who craft the intelligent assistant that helps millions get things done—just by asking. We interact with various engineering teams to identify issues, drive the quality of Siri features, and build frameworks that support evaluation and qualification for some of the most advanced AI systems in the industry.
As a Software Engineering Manager for Siri AI Quality, you will lead a team dedicated to validating the foundational layers of how users initiate and interact with Siri across the entire Apple ecosystem— including iPhone, iPad, Mac, CarPlay, and Watch. In this fast-paced and highly visible role, you will partner closely with software, machine learning, and audio engineering teams to define the quality strategy for critical first interactions, invocation experiences, and on device models. You will empower your team to adopt cutting-edge agentic AI systems and coding tools to accelerate test generation, automate issue triage, and shift testing left in the development lifecycle. By championing a culture of early testing and continuous evaluation, you will directly shape the intelligence, responsiveness, and end-to-end quality of a product used by millions worldwide.
- Lead a software quality engineering team to evaluate how users initiate and interact with Siri. across all platforms (iPhone, iPad, Mac, CarPlay, Watch).
- Define and execute the end-to-end qualification strategy for Siri’s attention and invocation experiences, as well as the functional validation of Siri’s on-device models.
- Partner deeply with software, machine learning, and speech/audio engineering teams to create a quality strategy that integrates early in the development lifecycle (shift-left).
- Drive team efficiency by adopting agentic AI systems and advanced coding tools to accelerate test generation, automate triage, and improve auto-error-attribution.
- Build and scale robust test automation frameworks, evaluation pipelines, and client integration
- frameworks to validate complex AI interactions.
- Report consistently on team progress, quality metrics, and release readiness to senior leadership, ensuring a high-quality user experience prior to ship.
- BS or MS in Computer Science, Machine Learning, or a related technical field.
- 3+ years of engineering leadership or direct team management experience.
- Experience in software quality automation, test engineering, or machine learning evaluation.
- Demonstrated experience building, testing, and shipping consumer-facing software products at scale.
- Proven track record of forming partnerships with cross-functional teams to solve complex technical problems.
- Strong history of delivering innovation, specifically utilizing agentic AI tools and advanced automation to improve engineering efficiency.
- Deep understanding of modern software lifecycles, test engineering best practices, and shift-left quality methodologies.
- Domain experience with assistant-based products, natural language processing, or global customer bases.
- Ability to execute broad strategies at scale while maintaining a strong grasp of technical details to guide the team.
- Excellent communication skills with the ability to clearly present quality metrics and risk assessments to leadership.